Li, Jinyu

WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing

Chen, S., Wang, C., Chen, Z., Wu, Y., Liu, S., Chen, Z., Li, J., Kanda, N., Yoshioka, T., Xiao, X., et al. (2022) · IEEE Journal of Selected Topics in Signal Processing

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 1,926

Recent advances in deep learning for speech research at Microsoft

Deng, L., Li, J., Huang, J.-T., Yao, K., Yu, D., Seide, F., Seltzer, M., Zweig, G., He, X., Williams, J., et al. (2013) · 2013 IEEE International Conference on Acoustics, Speech and Signal Processing

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 801

Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers

Wang, C., Chen, S., Wu, Y., Zhang, Z., Zhou, L., Liu, S., Chen, Z., Liu, Y., Wang, H., Li, J., et al. (2023) · arXiv

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 250

Learning Hidden Unit Contributions for Unsupervised Acoustic Model Adaptation

Swietojanski, P., Li, J., & Renals, S. (2016) · IEEE/ACM Transactions on Audio, Speech, and Language Processing

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 133

LSTM time and frequency recurrence for automatic speech recognition

Li, J., Mohamed, A., Zweig, G., & Gong, Y. (2015) · 2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU)

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 119

SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing

Ao, J., Wang, R., Zhou, L., Wang, C., Ren, S., Wu, Y., Liu, S., Ko, T., Li, Q., Zhang, Y., et al. (2021) · arXiv

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 30